RHEAS forecasts

Load and aggregate RHEAS simulated Leaf Area Index (LAI), Water stress and Grain Weight Average Dry (GWAD) across different ensembles. Extract year from dates (we will use harvest year).

Metrics aggregagation

Aggregate RHEAS production forecasts and metrics with respect to Districts maize growing calendar.

We assume two maize growing seasons in Tanzania: 1) Season 1: Short Rain Short Dry (SRSD) October – February. 2) Season 2: Long Rain Long Dry Season March – September.

So we will aggregate the metrics and yield forecast per district with this condition using the function RH_metrics.

Convert RHEAS yields from kg/ha to MT/ha.

Visualization

Add shapefile for visualization.

## Warning: multiple methods tables found for 'approxNA'

Check and format District names to be consistent in both the RHEAS and administrative boundaries.

## character(0)

Merge RHEAS and Admin data.

First Season

Visualize RHEAS predicted yields spatially for season 1. NOTE: Ignore yields over the lake area.

## Warning: multiple methods tables found for 'crop'
## Warning: multiple methods tables found for 'extend'

The first season seems to do well on average.

Second Season

Now lets how season 2 looks spatially